173 citations as recorded by crossref.

1. ENSO-induced drought hazards and wet spells and related agricultural losses across Anhui province, China P. Sun et al. https://doi.org/10.1007/s11069-017-3002-4
2. Spatiotemporal Characteristics of Winter Wheat Waterlogging in the Middle and Lower Reaches of the Yangtze River, China Y. Chen et al. https://doi.org/10.1155/2018/3542103
3. Non-stationary and copula-based approach to assess the drought characteristics encompassing climate indices over the Himalayan states in India J. Das et al. https://doi.org/10.1016/j.jhydrol.2019.124356
4. Predicting temperature and precipitation during the flood season based on teleconnection J. Jung & H. Kim https://doi.org/10.1186/s40562-022-00212-3
5. Quantifying the Impacts of Climate Change and Human Activities on Monthly Runoff in the Liuhe River Basin, Northeast China J. Yao et al. https://doi.org/10.3390/su17178050
6. Impacts of different El Niño events in the decaying summer on the oceanic source of summer rainfall for eastern China: A perspective from stable isotope P. Peng et al. https://doi.org/10.2166/wcc.2024.062
7. Runoff changes in the major river basins of China and their responses to potential driving forces L. Yang et al. https://doi.org/10.1016/j.jhydrol.2022.127536
8. Spatiotemporal Evolution of Precipitation Concentration in the Yangtze River Basin (1960–2019): Associations with Extreme Heavy Precipitation and Validation Using GPM IMERG T. Jin et al. https://doi.org/10.3390/rs17152732
9. The characteristics of regional heavy precipitation events over eastern monsoon China during 1960–2013 Y. Wu et al. https://doi.org/10.1016/j.gloplacha.2018.11.001
10. Characterisation of compound dry and hot events in Inner Mongolia and their relationship with large-scale circulation patterns Y. Kang et al. https://doi.org/10.1016/j.jhydrol.2022.128296
11. Post-processing sub-seasonal precipitation forecasts at various spatiotemporal scales across China during boreal summer monsoon Y. Li et al. https://doi.org/10.1016/j.jhydrol.2020.125742
12. Quantitative analysis for the response of streamflow variation to driving factors in seven major basins across China X. Wu et al. https://doi.org/10.1016/j.ecolind.2023.110081
13. Effects of Large-Scale Climatic Oscillations on the Variability of the Indian Summer Monsoon Rainfall D. Meena et al. https://doi.org/10.1007/s13351-023-2133-7
14. Coupled intelligent prediction model for medium- to long-term runoff based on teleconnection factors selection and spatial-temporal analysis J. Li et al. https://doi.org/10.1371/journal.pone.0313871
15. Influence of Large‐Scale Circulation Patterns on Compound Dry and Hot Events in China X. Wu et al. https://doi.org/10.1029/2020JD033918
16. Understanding precipitation concentration changes, driving factors, and responses to global warming across mainland China J. Du et al. https://doi.org/10.1016/j.jhydrol.2024.132164
17. Assessing the Impact of the Strictest Water Resources Management Policy on Water Use Efficiency in China Z. Cheng et al. https://doi.org/10.3390/w14152291
18. Seasonal Covariability of Dryness or Wetness in China and Global Sea Surface Temperature C. Li et al. https://doi.org/10.1175/JCLI-D-19-0250.1
19. Influence factors and mechanisms of 2015–2016 extreme flood in Pearl River Basin based on the WSDI from GRACE L. Zhang et al. https://doi.org/10.1016/j.ejrh.2023.101376
20. Spatiotemporal Variation of Extreme Precipitation in the Lixia River Basin, China, between 1960 and 2019 under Global Warming, Atmospheric Circulation, and Local Effects Y. Ju et al. https://doi.org/10.1061/JHYEFF.HEENG-6002
21. Evaluation of three global gridded precipitation data sets in central Asia based on rain gauge observations Z. Hu et al. https://doi.org/10.1002/joc.5510
22. Flood-induced agricultural loss across China and impacts from climate indices Q. Zhang et al. https://doi.org/10.1016/j.gloplacha.2015.10.006
23. Impacts of bias nonstationarity of climate model outputs on hydrological simulations Y. Hui et al. https://doi.org/10.2166/nh.2020.254
24. Changes in precipitation extremes in the Beijing metropolitan area during 1960–2012 X. Song et al. https://doi.org/10.1016/j.atmosres.2019.02.006
25. Contributions of natural climate variability on the trends of seasonal precipitation extremes over China F. Cao et al. https://doi.org/10.1002/joc.7126
26. Quantile-based evaluation of climate change impacts on extreme events and their lagged connections with large-scale climate oscillations S. Wang & G. Huang https://doi.org/10.1007/s00382-025-07869-4
27. Interannual variability of summertime cross-isobath exchanges in the northern South China Sea: ENSO and riverine influences Y. Song et al. https://doi.org/10.5194/os-21-3361-2025
28. A composite approach towards understanding the mechanisms and driving variables of river mouth variability: A case study of the Da Dien River mouth N. Nguyen et al. https://doi.org/10.1080/21664250.2022.2124046
29. Analysing the influences of ENSO and PDO on water discharge from the Yangtze River into the sea J. Peng et al. https://doi.org/10.1002/hyp.11484
30. Seasonal differences in future climate and streamflow variation in a watershed of Northern China W. Cao et al. https://doi.org/10.1016/j.ejrh.2021.100959
31. Spatiotemporal Heterogeneity in Precipitation over China and Its Connections with Large-Scale Climate Oscillations—A Moisture Budget Perspective C. Lu et al. https://doi.org/10.1175/JCLI-D-21-0840.1
32. Deterministic and Probabilistic Evaluation of Sub-Seasonal Precipitation Forecasts at Various Spatiotemporal Scales over China during the Boreal Summer Monsoon Y. Li et al. https://doi.org/10.3390/atmos12081049
33. Multi-Space Seasonal Precipitation Prediction Model Applied to the Source Region of the Yangtze River, China Y. Du et al. https://doi.org/10.3390/w11122440
34. Streamflow variability and its linkage to ENSO events in the Ethiopian Rift Valley Lakes Basin A. Worako et al. https://doi.org/10.1016/j.ejrh.2021.100817
35. Can GCMs Simulate ENSO Cycles, Amplitudes, and Its Teleconnection Patterns with Global Precipitation? C. Ma et al. https://doi.org/10.3390/atmos16050507
36. Meteorological and hydrological drought characteristics and response to climatic indices in the Dongting Lake Basin from multi-source data Y. Long et al. https://doi.org/10.1016/j.ejrh.2025.102721
37. Impact of ENSO regimes on developing- and decaying-phase precipitation during rainy season in China Q. Cao et al. https://doi.org/10.5194/hess-21-5415-2017
38. Sustaining the Pearl River: A Critical Review of Changes in Fluvial Geomorphological Processes and the Driving Forces in the Pearl River Basin H. Ou et al. https://doi.org/10.3390/w16071001
39. Drought forecasting in Luanhe River basin involving climatic indices W. Ren et al. https://doi.org/10.1007/s00704-016-1952-1
40. Hydroclimatology, modes of climatic variability and stream flow, lake and groundwater level variability G. McGregor https://doi.org/10.1177/0309133317726537
41. Precipitation Characteristics across the Three River Headwaters Region of the Tibetan Plateau: A Comparison between Multiple Datasets J. Du et al. https://doi.org/10.3390/rs15092352
42. Influence of solar activity and large-scale climate phenomena on extreme precipitation events in the Yangtze River Economic Belt Y. Wu et al. https://doi.org/10.1007/s00477-023-02573-3
43. Terrestrial water storage changes over the Pearl River Basin from GRACE and connections with Pacific climate variability Z. Luo et al. https://doi.org/10.1016/j.geog.2016.04.008
44. An extreme learning machine model for the simulation of monthly mean streamflow water level in eastern Queensland R. Deo & M. Şahin https://doi.org/10.1007/s10661-016-5094-9
45. The Linkage between Two Types of El Niño Events and Summer Streamflow over the Yellow and Yangtze River Basins D. Wang et al. https://doi.org/10.1007/s00376-019-9049-2
46. Evaluation of HHT approach for estimating agricultural drought trend and frequency based on modified soil water deficit index (MSWDI) H. Yang et al. https://doi.org/10.1007/s00704-018-2688-x
47. Influence analysis of central and Eastern Pacific El Niños to seasonal rainfall patterns over China using the intentional statistical simulations C. Heng et al. https://doi.org/10.1016/j.atmosres.2019.104706
48. Runoff evolution and driving mechanisms in the Xijiang River basin under the changing environment: an ESMD-based analysis J. Li et al. https://doi.org/10.1007/s40899-026-01349-1
49. Analysis of El Niño Southern Oscillation and its impact on rainfall distribution and productivity of selected cereal crops in Kembata Alaba Tembaro zone B. Haile et al. https://doi.org/10.1016/j.cliser.2021.100254
50. Hydrologic Sensitivities and ENSO Variability Across Hydrological Regimes in Central Chile (28°–41°S) D. Hernandez et al. https://doi.org/10.1029/2021WR031860
51. Changes in Stream Flow and Their Relationships with Climatic Variations and Anthropogenic Activities in the Poyang Lake Basin, China C. Gu et al. https://doi.org/10.3390/w8120564
52. Spatiotemporal variation and statistical characteristic of extreme precipitation in the middle reaches of the Yellow River Basin during 1960–2013 Y. Zhang et al. https://doi.org/10.1007/s00704-018-2371-2
53. Variation patterns of extreme precipitation and relation to ocean-atmospheric climate in Sichuan province China from 1961 to 2017 J. Li et al. https://doi.org/10.1007/s00704-019-02792-1
54. Identifying El Niño–Southern Oscillation influences on rainfall with classification models: implications for water resource management of Sri Lanka T. De Silva M. & G. Hornberger https://doi.org/10.5194/hess-23-1905-2019
55. Seasonal Responses of Precipitation in China to El Niño and Positive Indian Ocean Dipole Modes C. Li & T. Zhao https://doi.org/10.3390/atmos10070372
56. A century-long streamflow reconstruction reveals significant streamflow increases in the upper Yangtze River basin J. Hu et al. https://doi.org/10.1016/j.catena.2025.108774
57. Trend and Variability in Droughts in Northeast China Based on the Reconnaissance Drought Index Y. Yue et al. https://doi.org/10.3390/w10030318
58. Long-term trends and variability of total and extreme precipitation in Thailand A. Limsakul & P. Singhruck https://doi.org/10.1016/j.atmosres.2015.10.015
59. Skill decreases in real-time seasonal climate prediction due to decadal variability C. Shao et al. https://doi.org/10.1007/s00382-023-06800-z
60. Linking ENSO diversity to runoff predictability in China using nonhomogeneous hidden Markov model J. Sun et al. https://doi.org/10.1016/j.jhydrol.2025.134326
61. Rainfall seasonality changes and its possible teleconnections with global climate events in China S. Deng et al. https://doi.org/10.1007/s00382-019-04722-3
62. Climate and rivers G. McGregor https://doi.org/10.1002/rra.3508
63. On the relationship of climatic and monsoon teleconnections with monthly precipitation over meteorologically homogenous regions in India: Wavelet & global coherence approaches J. Das et al. https://doi.org/10.1016/j.atmosres.2020.104889
64. Trends in precipitation extremes over the Yellow River basin in North China: Changing properties and causes T. Gao & H. Wang https://doi.org/10.1002/hyp.11192
65. Investigating and predicting spatiotemporal variations in vegetation cover in transitional climate zone: a case study of Gansu (China) Q. He et al. https://doi.org/10.1007/s00704-022-04140-2
66. Tree-ring-width based streamflow reconstruction based on the random forest algorithm for the source region of the Yangtze River, China J. Li et al. https://doi.org/10.1016/j.catena.2019.104216
67. Teleconnection patterns of precipitation in the Three-River Headwaters region, China Y. Dong et al. https://doi.org/10.1088/1748-9326/aba8c0
68. Basin-wide and regional low-frequency variability of Yangtze precipitation revealed by clustering and slow feature analysis H. Wu et al. https://doi.org/10.1080/02626667.2026.2650439
69. Terrestrial water storage anomalies of Yangtze River Basin droughts observed by GRACE and connections with ENSO Z. Zhang et al. https://doi.org/10.1016/j.gloplacha.2015.01.002
70. The Month-to-Year Precursory and Synchronous Inherent Connections between Global Oceanic Modes and Extreme Precipitation over China X. Liu et al. https://doi.org/10.1007/s00376-024-4306-4
71. A Nonstationary Standardized Precipitation Index incorporating climate indices as covariates J. Li et al. https://doi.org/10.1002/2015JD023920
72. Streamflow and rainfall forecasting by two long short-term memory-based models L. Ni et al. https://doi.org/10.1016/j.jhydrol.2019.124296
73. Baseflow dynamics and multivariate analysis using bivariate and multiple wavelet coherence in an alpine endorheic river basin (Northwest China) Q. Cheng et al. https://doi.org/10.1016/j.scitotenv.2021.145013
74. Runoff reconstruction for the Bailong River from tree rings back to AD 1601, reveals changing hydrological signals of China north–south transition zone Z. Gao et al. https://doi.org/10.1002/hyp.14417
75. Characteristics of extreme precipitation and its effects on soil and water retention in Sichuan, China under multiple climate change elements Z. Ren et al. https://doi.org/10.1016/j.ecolind.2025.113702
76. Precipitation forecasting by large-scale climate indices and machine learning techniques M. Gholami Rostam et al. https://doi.org/10.1007/s40333-020-0097-3
77. Copula-based non-stationarity identification of watershed water and energy dependency structure and possible driving forces J. Jiang et al. https://doi.org/10.1016/j.atmosres.2022.106396
78. Analysis of the spatio-temporal patterns of dry and wet conditions in the Huai River Basin using the standardized precipitation index Y. He et al. https://doi.org/10.1016/j.atmosres.2015.06.022
79. Characterization of precipitation and temperature equilibrium and its driving forces in the Yangtze river basin under climate change P. Yang et al. https://doi.org/10.1007/s00382-023-06888-3
80. Spatiotemporal variation characteristics of extreme precipitation in the upper reaches of the Hongshui River Basin during 1959–2016 Y. Huang et al. https://doi.org/10.2166/wcc.2021.339
81. Integrated large‐scale circulation impact on rainy season precipitation in the source region of the Yangtze River Y. Du et al. https://doi.org/10.1002/joc.6332
82. The Development of a Nonstationary Standardised Streamflow Index Using Climate and Reservoir Indices as Covariates M. Wang et al. https://doi.org/10.1007/s11269-022-03088-2
83. A hybrid bayesian vine model for water level prediction Z. Liu et al. https://doi.org/10.1016/j.envsoft.2021.105075
84. A Framework on Analyzing Long-Term Drought Changes and Its Influential Factors Based on the PDSI B. Yang et al. https://doi.org/10.3390/atmos13071151
85. Higher-order internal modes of variability imprinted in year-to-year California streamflow changes S. Duan et al. https://doi.org/10.1038/s43247-024-01594-2
86. Hydrological Drought Forecasting Incorporating Climatic and Human-Induced Indices M. Li et al. https://doi.org/10.1175/WAF-D-19-0029.1
87. Dominant factor of dry‐wet change in China since 1960s J. Xu et al. https://doi.org/10.1002/joc.6728
88. Climate Trends and Attribution Analysis of Runoff Changes in the Songhua River Basin from 1980 to 2022 Based on the Budyko Hypothesis X. Wang et al. https://doi.org/10.3390/su17188459
89. A multi‐scalar evaluation of differential impacts of canonical ENSO and ENSO Modoki on drought in China S. Deng et al. https://doi.org/10.1002/joc.5928
90. On the reliability of composite analysis: an example of wet summers in North China L. Li & A. Dolman https://doi.org/10.1016/j.atmosres.2023.106881
91. Catchment-scale thawing and greening decreases long-term nitrogen export in NE Greenland S. Speir et al. https://doi.org/10.1088/1748-9326/ad3e8e
92. Nonstationary spatiotemporal evolution of extreme flood and low flow affected by climate change and human activities in the Yellow River basin M. Ren et al. https://doi.org/10.1016/j.ejrh.2025.102640
93. A Multidimensional Hotspot Assessment of Long-Term Terrestrial Water Storage Anomaly Change Across China X. Huang et al. https://doi.org/10.3390/rs18152478
94. A multiscale and multivariate analysis of precipitation and streamflow variability in relation to ENSO, NAO and PDO D. Nalley et al. https://doi.org/10.1016/j.jhydrol.2019.04.024
95. Coupling-Coordinated Development of the Water-Economy-Innovation Nexus: A Case Study of the Grand Canal Area in China Z. Cheng et al. https://doi.org/10.1061/JWRMD5.WRENG-6063
96. Spatiotemporal Variations of Summer Precipitation and Their Correlations with the East Asian Summer Monsoon in the Poyang Lake Basin, China H. Zhu et al. https://doi.org/10.3390/w11081705
97. Adaptive assessment of reservoir scheduling to hydrometeorological comprehensive dry and wet condition evolution in a multi-reservoir region of southeastern China H. Chen et al. https://doi.org/10.1016/j.jhydrol.2024.132392
98. Spatial and Temporal Patterns of the Extreme Precipitation across the Tibetan Plateau (1986–2015) J. Xiong et al. https://doi.org/10.3390/w11071453
99. Climate change dominated runoff change in the eastern Tibetan Plateau Z. Ning et al. https://doi.org/10.1016/j.catena.2024.108304
100. A new non-stationary standardised streamflow index using the climate indices and the optimal anthropogenic indices as covariates in the Wei River Basin, China M. Ren et al. https://doi.org/10.1016/j.ejrh.2023.101649
101. Variations and changes of annual precipitation in Central Asia over the last century Z. Hu et al. https://doi.org/10.1002/joc.4988
102. Oxidative Desulfurization of Petroleum Distillate Fractions Using Manganese Dioxide Supported on Magnetic Reduced Graphene Oxide as Catalyst W. Ahmad et al. https://doi.org/10.3390/nano11010203
103. Multivariate Hazard Assessment for Nonstationary Seasonal Flood Extremes Considering Climate Change P. Xu et al. https://doi.org/10.1029/2020JD032780
104. Spatiotemporal characteristics of regional extreme precipitation in Yangtze River basin P. Li et al. https://doi.org/10.1016/j.jhydrol.2021.126910
105. Analyzing the variation of the precipitation of coastal areas of eastern China and its association with sea surface temperature (SST) of other seas C. Ji et al. https://doi.org/10.1016/j.atmosres.2018.12.027
106. How does advection contribution to precipitation in Eastern China behave during different types and phases of ENSO events? Using a stable isotope approach P. Peng et al. https://doi.org/10.1016/j.gloplacha.2025.104907
107. 2015–16 floods and droughts in China, and its response to the strong El Niño F. Ma et al. https://doi.org/10.1016/j.scitotenv.2018.01.280
108. Streamflow Variability in Mahaweli River Basin of Sri Lanka during 1990–2014 and Its Possible Mechanisms S. Shelton & Z. Lin https://doi.org/10.3390/w11122485
109. Responses of annual streamflow variability to annual precipitation, extreme climate events and large-scale climate phenomena in the Qinghai-Tibet Plateau Z. Zhang et al. https://doi.org/10.1016/j.jhydrol.2024.130969
110. AI-Enhanced analysis of seasonal rainfall trends and variability in the Ethiopian highlands (1981–2050) E. Debie https://doi.org/10.1007/s00704-025-05713-7
111. The impact of climate change and human activities on streamflow and sediment load in the Pearl River basin C. Wu et al. https://doi.org/10.1016/j.ijsrc.2019.01.002
112. Impacts of various types of El Niño–Southern Oscillation (ENSO) and ENSO Modoki on the rainy season over the Huaihe River basin Q. Cao et al. https://doi.org/10.1002/joc.6002
113. Combined Impacts of ENSO and IOD on Streamflow: A Case Study of the Jinsha River Basin, China W. Jia et al. https://doi.org/10.3390/w15010045
114. Non‐stationarities in the occurrence rate of heavy precipitation across China and its relationship to climate teleconnection patterns X. Gu et al. https://doi.org/10.1002/joc.5058
115. Agricultural drought prediction in China based on drought propagation and large-scale drivers Y. Zhang et al. https://doi.org/10.1016/j.agwat.2021.107028
116. The Spatiotemporal Fluctuations of Extreme Rainfall and Their Potential Influencing Factors in Sichuan Province, China, from 1970 to 2022 L. Bai et al. https://doi.org/10.3390/rs17050883
117. Unveiling river thermal regimes in the Yangtze river basin, China, with a hybrid deep learning model Y. You et al. https://doi.org/10.1016/j.jenvman.2025.128460
118. Spatiotemporal heterogeneity and mechanisms of mountain-outlet runoff change on the northern slope of the Qilian Mountains during 1960–2020 Y. Wei et al. https://doi.org/10.1016/j.ejrh.2026.103935
119. Pacific decadal oscillation impact on East China precipitation and its imprint in new geological documents J. Yao et al. https://doi.org/10.1007/s11430-016-9146-2
120. Long-Term Trends and Variability of Hydroclimate Variables and Their Linkages with Climate Indices in the Songhua River C. Ma et al. https://doi.org/10.3390/atmos15020174
121. Extreme hydroclimatic variability and impact of local and global climate system anomalies on extreme flow in the Upper Awash River basin S. Tola & A. Shetty https://doi.org/10.1007/s00704-023-04510-4
122. Hydro-Meteorological Trends in the Yarlung Zangbo River Basin and Possible Associations with Large-Scale Circulation R. Zhang et al. https://doi.org/10.3390/w12010144
123. Drought variability and its connection with large-scale atmospheric circulations in Haihe River Basin J. Wei et al. https://doi.org/10.1016/j.wse.2020.12.007
124. Combining time varying filtering based empirical mode decomposition and machine learning to predict precipitation from nonlinear series C. Song et al. https://doi.org/10.1016/j.jhydrol.2021.126914
125. Impacts of El Niño–southern oscillation on global runoff: Characteristic signatures and potential mechanisms Y. You et al. https://doi.org/10.1002/hyp.14367
126. Linkage detection between climate oscillations and water and sediment discharge of 10 rivers in Eastern China F. Zhang et al. https://doi.org/10.3389/fmars.2024.1484683
127. GRACE-Derived Terrestrial Water Storage Changes in the Inter-Basin Region and Its Possible Influencing Factors: A Case Study of the Sichuan Basin, China C. Yao et al. https://doi.org/10.3390/rs8060444
128. Tree-ring-based drought variability in the eastern region of the Silk Road and its linkages to the Pacific Ocean C. Sun & Y. Liu https://doi.org/10.1016/j.ecolind.2018.09.032
129. Runoff responses to Atlantic multidecadal and Pacific decadal oscillations in China: Insights from the last millennium simulations Y. Liu et al. https://doi.org/10.1016/j.ejrh.2025.102212
130. The effects of pre‐season high flows, climate, and the Three Gorges Dam on low flow at the Three Gorges Region, China Z. Su et al. https://doi.org/10.1002/hyp.13714
131. Influence of three phases of El Niño–Southern Oscillation on daily precipitation regimes in China A. Lv et al. https://doi.org/10.5194/hess-23-883-2019
132. Groundwater Depletion in the West Liaohe River Basin, China and Its Implications Revealed by GRACE and In Situ Measurements Y. Zhong et al. https://doi.org/10.3390/rs10040493
133. Categorical prediction of compound dry and hot events in northeast China based on large-scale climate signals Y. Hao et al. https://doi.org/10.1016/j.jhydrol.2021.126729
134. Quantifying the uncertainty contribution in runoff projection and the time scale effects Z. Li et al. https://doi.org/10.1016/j.jhydrol.2026.135067
135. Recent changes in climate seasonality in the inland river basin of Northwestern China T. Ning et al. https://doi.org/10.1016/j.jhydrol.2020.125212
136. Summertime ENSO potentially amplifies rainstorm and flood risk in the lower Yellow River Basin, China J. Song et al. https://doi.org/10.1016/j.ejrh.2023.101576
137. Causes of Increased Compound Temperature and Precipitation Extreme Events in the Arid Region of Northwest China from 1961 to 2100 H. Niu et al. https://doi.org/10.3390/rs16173111
138. A novel GRACE reconstructive filter to extract the mass changes in Madagascar G. Jian et al. https://doi.org/10.1093/gji/ggad316
139. Spatiotemporal characteristics of seasonal precipitation and their relationships with ENSO in Central Asia during 1901–2013 X. Chen et al. https://doi.org/10.1007/s11442-018-1529-2
140. Changes in the Spatial Heterogeneity and Annual Distribution of Observed Precipitation across China Q. Sun et al. https://doi.org/10.1175/JCLI-D-17-0045.1
141. Decoding the hydroclimatic variability in the Minjiang River, Southeast China: The influence of ENSO, PDO, AO, and anthropogenic regulations X. Lai et al. https://doi.org/10.1016/j.ejrh.2026.103192
142. Impacts of ENSO and ENSO Modoki+A regimes on seasonal precipitation variations and possible underlying causes in the Huai River basin, China Q. Zhang et al. https://doi.org/10.1016/j.jhydrol.2015.12.003
143. Century‐long variations of growing‐season compound dry–hot extremes and their links with large‐scale climate patterns in China S. Guo et al. https://doi.org/10.1002/joc.8275
144. Linkages between El Niño-Southern Oscillation (ENSO) and precipitation in West Africa regions I. Emmanuel https://doi.org/10.1007/s12517-022-09942-2
145. Two Strategies for Avoiding Overfitting Long-Term Forecasting Models: Downsampling Predictor Fields and Shrinking Coefficients R. He et al. https://doi.org/10.1061/JHYEFF.HEENG-5864
146. Increasingly frequent co-occurrence of drought or pluvial in multiple tributaries of the Yangtze River basin Q. Luo et al. https://doi.org/10.1016/j.jhydrol.2024.131035
147. Sedimentological and geochemical proxies reveal changes in the South Atlantic Convergence Zone in Southeast South America during the Late-Holocene M. de Mahiques et al. https://doi.org/10.1177/09596836241275021
148. Temporal and spatial characteristics of forest pests in China and their association with large-scale circulation indices Y. Pang et al. https://doi.org/10.1093/ee/nvae078
149. CP El Niño and PDO Variability Affect Summer Precipitation over East China W. Song & Q. Wang https://doi.org/10.1155/2020/2747194
150. Variability and changes in Pearl River Delta water level: oceanic and atmospheric forcing perspectives X. Feng et al. https://doi.org/10.1175/JHM-D-21-0037.1
151. Analysis of Drought Characteristic of Sichuan Province, Southwestern China Y. Zhang et al. https://doi.org/10.3390/w15081601
152. Inter-annual to inter-decadal streamflow variability in Quebec and Ontario in relation to dominant large-scale climate indices D. Nalley et al. https://doi.org/10.1016/j.jhydrol.2016.02.049
153. Influence of mature El Niño‐Southern Oscillation phase on seasonal precipitation and streamflow in the Yangtze River Basin, China J. Wei et al. https://doi.org/10.1002/joc.6433
154. Hydrological response to large-scale climate variability across the Pearl River basin, China: Spatiotemporal patterns and sensitivity X. Gu et al. https://doi.org/10.1016/j.gloplacha.2016.12.016
155. Identification of the Non-Stationarity of Meteorological Drought in the Yellow River Basin and Assessment of the Applicability of the GAMLSS Model L. Liang et al. https://doi.org/10.3390/su18136383
156. Understanding the spatiotemporal dynamics of vegetation drought and its time-lag link with teleconnection factors on the Loess Plateau M. Li et al. https://doi.org/10.1016/j.ejrh.2024.101778
157. Evidence of climate shift for temperature and precipitation extremes across Gansu Province in China D. An et al. https://doi.org/10.1007/s00704-019-03041-1
158. Recent wetting trend in China from 1982 to 2016 and the impacts of extreme El Niño events H. Yan et al. https://doi.org/10.1002/joc.6530
159. Non-uniform changes in different categories of precipitation intensity across China and the associated large-scale circulations C. Miao et al. https://doi.org/10.1088/1748-9326/aaf306
160. Propagation Dynamics from Meteorological Drought to GRACE-Based Hydrological Drought and Its Influencing Factors A. Cui et al. https://doi.org/10.3390/rs16060976
161. The precipitation variability of the wet and dry season at the interannual and interdecadal scales over eastern China (1901–2016): the impacts of the Pacific Ocean T. Gao et al. https://doi.org/10.5194/hess-25-1467-2021
162. Changes in accumulation of land-based organic matter under recent climate change and anthropogenic impact: A tropical coastal perspective M. Liu et al. https://doi.org/10.1016/j.catena.2024.108611
163. Synchronous droughts and floods in the Southern Chinese Loess Plateau since 1646 CE in phase with decadal solar activities X. Yu et al. https://doi.org/10.1016/j.gloplacha.2019.103033
164. Teleconnection between climate oscillations and riverine nutrient dynamics in Southeast China based on wavelet analysis Y. Hao & J. Lu https://doi.org/10.1007/s11356-021-13715-x
165. Combined Impacts of Climate Variability Modes on Seasonal Precipitation Extremes Over China T. Gao et al. https://doi.org/10.1007/s11269-022-03150-z
166. Evaluation of multiple gridded precipitation datasets for the arid region of northwestern China J. Yao et al. https://doi.org/10.1016/j.atmosres.2019.104818
167. A comparative study of extensive machine learning models for predicting long‐term monthly rainfall with an ensemble of climatic and meteorological predictors Z. Zhou et al. https://doi.org/10.1002/hyp.14424
168. High-resolution streamflow simulation, trend and drought analysis in China (1980–2022): A large-scale routing model based on improved geomorphic functions Z. Sun et al. https://doi.org/10.1016/j.ejrh.2025.102892
169. Development of Technology for Identification of Climate Patterns during Floods Using Global Climate Model Data with Convolutional Neural Networks J. Jung & H. Han https://doi.org/10.3390/w14244045
170. Lagged effect of the Pacific Decadal Oscillation on decadal variation in global land precipitation L. Liang et al. https://doi.org/10.59717/j.xinn-geo.2023.100034
171. A Rare Dispersion of Low‐Salinity, High‐Gelbstoff, High‐Primary Production Water in the East China Sea During the Summer of 2010: Possible Influence of the ENSO E. Siswanto et al. https://doi.org/10.1002/2017JC013319
172. Evaluating Terrestrial Water Storage, Fluxes, and Drivers in the Pearl River Basin from Downscaled GRACE/GFO and Hydrometeorological Data Y. Xiong et al. https://doi.org/10.3390/rs17233816
173. Tree‐ring‐based reconstruction of the precipitation variability in the middle Taihang Mountains (1608–2021) T. Hou et al. https://doi.org/10.1002/joc.8362